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Обнаружение атаки эгоистичного майнинга в ÑÐ¸ÑÑ‚ÐµÐ¼Ð°Ñ , Ð¸ÑÐ¿Ð¾Ð»ÑŒÐ·ÑƒÑŽÑ‰Ð¸Ñ Ð°Ð»Ð³Ð¾Ñ€Ð¸Ñ‚Ð¼ консенсуса Proof-of-Work

выпускная квалификационная работа магистра

Обнаружение атаки эгоистичного майнинга в ÑÐ¸ÑÑ‚ÐµÐ¼Ð°Ñ , Ð¸ÑÐ¿Ð¾Ð»ÑŒÐ·ÑƒÑŽÑ‰Ð¸Ñ Ð°Ð»Ð³Ð¾Ñ€Ð¸Ñ‚Ð¼ консенсуса Proof-of-Work

Abstract

Целью работы является идентификация майнинг-пула, осуществляющего атаку эгоистичного майнинга. Предметом исследования являются современные методы обнаружения атаки эгоистичного майнинга. Задачи, решаемые в ходе исследования: 1. Анализ механизма майнинга в системах распределенного реестра с алгоритмом консенсуса Proof-of-Work. 2. Анализ методов обнаружения атак эгоистичного майнинга. 3. Разработка усовершенствованного подхода к обнаружению атаки эгоистичного майнинга. 4. Оценка подхода, тесты и сравнение с другими подходами. В ходе работы был исследован алгоритм майнинга в системах распределенного реестра с консенсусом Proof-of-Work. Были проанализированы современные исследования в области обнаружения атаки эгоистичного майнинга. В результате работы было разработано средство обнаружения атаки эгоистичного майнинга в рамках майнинг-пула, была продемонстрирована эффективность средства, произведено сравнение с другими средствами. Был сделан вывод, что атака эгоистичного майнинга актуальна на сегодняшний день, но мало изучена. Полученные результаты могут быть использованы в качестве основы разработки плагина для программного обеспечения майнеров.

The purpose of the study is to identify a mining pool that is carrying out a selfish mining attack. The subject of the work is modern methods for detecting a selfish mining attack. The research set the following goals: 1. Analysis of the mining mechanism in distributed ledger systems with the Proof-of-Work consensus algorithm. 2. Analysis of methods for detecting selfish mining attack. 3. Development of an improved approach to detecting a selfish mining attack. 4. Assessment of the approach, tests and comparison with other approaches. During the work the mining algorithm was studied in distributed ledger systems with the Proof-of-Work consensus. Modern studies in the selfish mining attack detection area were analyzed. As a result of the work a tool for detecting a selfish mining attack within a mining pool was developed, the effectiveness of the tool was demonstrated, also a comparison with other tools is provided. It was concluded that the attack of selfish mining is relevant today, but poorly examined. The results obtained can be used as a base for a plugin for miner software.

Keywords

атака эгоистичного майнинга, Искусственный интеллект, Информация, selfish mining attack, системы распределенного реестра, distributed ledger technology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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